A Histogram is graphical display of data using bars of different heights. It groups the various numbers in the data set into many ranges. It also represents the estimation of the probability of distribution of a continuous variable. In SAS the PROC UNIVARIATE is used to create histograms with the below options.

Syntax

The basic syntax to create a histogram in SAS is −

PROC UNIVARAITE DATA = DATASET;
HISTOGRAM variables;
RUN;

Following is the description of parameters used −

• DATASET is the name of the dataset used.

• variables are the values used to plot the histogram.

Simple Histogram

A simple histogram is created by specifying the name of the variable and the range to be considered to group the values.

Example

In the below example, we consider the minimum and maximum values of the variable horsepower and take a range of 50. So the values form a group in steps of 50.

proc univariate data = sashelp.cars;
histogram horsepower
/ midpoints = 176 to 350 by 50;
run;

When we execute the above code, we get the following output −

sas 33

Histogram with Curve Fitting

We can fit some distribution curves into the histogram using additional options.

Example

In the below example we fit a distribution curve with mean and standard deviation values mentioned as EST. This option uses and estimate of the parameters.

proc univariate data = sashelp.cars noprint;
histogram horsepower
/
normal (
mu = est
sigma = est
color = blue
w = 2.5
)

barlabel = percent
midpoints = 70 to 550 by 50;
run;

When we execute the above code, we get the following output −

sas 34

SAS – Simulations

Simulation is a computational technique that uses repeating computation on many different random samples in order to estimate a statistical quantity. Using SAS we can simulate complex data that have specified statistical properties in real-world system. We use software to build a model of the system and numerically generate data that you can be used for a better understanding of the behavior of the real-world system. Part of the art of designing a computer simulation model is deciding which aspects of the real-life system are necessary to include in the model so that the data generated by the model can be used to make effective decisions. Because of this complexity, SAS has a dedicated software component for Simulation.

The SAS software component which is used in creating SAS simulation is called SAS Simulation Studio. Its graphical user interface provides a full set of tools for building, executing, and analyzing the results of discrete event simulation models.

Different types of statistical distributions on which SAS simulation can be applied is listed below.

• SIMULATE DATA FROM A CONTINUOUS DISTRIBUTION

• SIMULATE DATA FROM A DISCRETE DISTRIBUTION

• SIMULATE DATA FROM A MIXTURE OF DISTRIBUTIONS

• SIMULATE DATA FROM A COMPLEX DISTRIBUTION

• SIMULATE DATA FROM A MULTIVARIATE DISTRIBUTION

• APPROXIMATE A SAMPLING DISTRIBUTION

• ASSESS REGRESSION ESTIMATES

So, this brings us to the end of blog. This Tecklearn ‘How to create Histogram and Simulation in SAS’ blog helps you with commonly asked questions if you are looking out for a job in SAS. If you wish to learn SAS and build a career in Data Analytics domain, then check out our interactive, SAS Training for SAS BASE Certification Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

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What you will Learn in this Course?

Introduction to SAS

• Introduction to SAS

• Installation of SAS

• SAS windows

• Working with data sets

• Walk through of SAS windows like output, search, editor etc

SAS Enterprise Guide

• How to read and subset the data sets

• SET Statement

• Infile and Infile Options

• SAS Format -Format Vs Informat

SAS Operators and Functions

• Using Variables

• Defining and using KEEP and DROP statements

• Output Statement

• Retain Statement

• SUM Statement

Advanced SAS Procedures

• PROC Import

• PROC Print

• Data Step Vs Proc

• Deep Dive into Proc

Customizing Datasets

• SAS Arrays

• Useful SAS Functions

• PUT/INPUT Functions

• Date/Time Functions

• Numeric Functions

• Character Functions

SAS Format and SAS Graphs

• SAS Format statements

• Understanding PROC GCHART, various graphs, bar charts: pie, bar

Sorting Techniques

• NODUP

• NODUKEY

• NODUP Vs NODUKEY

Data Transformation Function

• Character functions, numeric functions and converting variable type

• Use functions in data transformation

Deep Dive into SAS Procedures, Functions and Statements

• Find Function

• Scan Function

• MERGE Statement

• BY Statement

• Joins

• Procedures Vs Function

• Where Vs If

• What is Missover

• NMISS

• CMISS

PROC SQL

• SELECT statement

• Sorting of Data

• CASE expression

• Other SELECT statement clauses

• JOINS and UNIONS

Using SAS Macros

• Benefits of SAS Macros

• Macro Variables

• Macro Code Constituents and Macro Step

• Positional Parameters to Macros

Got a question for us? Please mention it in the comments section and we will get back to you.

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